Network approaches investigating brain reorganization across the lifespan have constantly reported whole-brain intrinsic connectivity changes by using standard centrality metrics such as node degree [1]}, strength [2]} and betwenness [3]}.
Compared to young adults, older ones exhibit reduced local-efficiency and modularity as well as connectivity changes within and between specific subnetworks [4]}, [5]}, [6]}, [7]}.
Only few studies have attempted to study how network controllability evolves with age. In a recent study, authors showed that regional controllability increases with development [8]}, but no information is available on how it evolves across the lifespan.
To address this question, we combined information from both structural (dti) and functional (fmri) neuroimaging data, and we analyzed the effect of aging on a new measure of centrality based on network controllability.
